Jan Ramon
Directeur de recherche epst
Laboratoire / équipe
Publications
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"citationRef_s":"<i>Logical Methods in Computer Science</i>, In press, Volume 20, Issue 1, <a target=\"_blank\" href=\"https://dx.doi.org/10.46298/lmcs-20(1:9)2024\">⟨10.46298/lmcs-20(1:9)2024⟩</a>",
"citationFull_s":"Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon. Linear Programs with Conjunctive Database Queries. <i>Logical Methods in Computer Science</i>, In press, Volume 20, Issue 1, <a target=\"_blank\" href=\"https://dx.doi.org/10.46298/lmcs-20(1:9)2024\">⟨10.46298/lmcs-20(1:9)2024⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04317553\">⟨hal-04317553⟩</a>",
"title_s":["Linear Programs with Conjunctive Database Queries"],
"authFullName_s":["Florent Capelli",
"Nicolas Crosetti",
"Joachim Niehren",
"Jan Ramon"],
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"citationRef_s":"Insa Lyon; Inria Lyon. 2023",
"citationFull_s":"Louise Bart, El Amine Bechorfa, Antoine Boutet, Jan Ramon, Carole Frindel. A Smartphone-based Architecture for Prolonged Monitoring of Gait. Insa Lyon; Inria Lyon. 2023. <a target=\"_blank\" href=\"https://hal.science/hal-04355370\">⟨hal-04355370⟩</a>",
"title_s":["A Smartphone-based Architecture for Prolonged Monitoring of Gait"],
"authFullName_s":["Louise Bart",
"El Amine Bechorfa",
"Antoine Boutet",
"Jan Ramon",
"Carole Frindel"],
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"citationRef_s":"<i>IEEE CSR 2P-DPA workshop - Workshop on Privacy-Preserving Data Processing and Analysis</i>, Jul 2023, Venice, Italy",
"citationFull_s":"Alberto Pedrouzo-Ulloa, Jan Ramon, Patrick Duflot, Fernando Pérez-González, Siyanna Lilova, et al.. Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies. <i>IEEE CSR 2P-DPA workshop - Workshop on Privacy-Preserving Data Processing and Analysis</i>, Jul 2023, Venice, Italy. <a target=\"_blank\" href=\"https://inria.hal.science/hal-04092216\">⟨hal-04092216⟩</a>",
"title_s":["Introducing the TRUMPET project: TRUstworthy Multi-site Privacy Enhancing Technologies"],
"authFullName_s":["Alberto Pedrouzo-Ulloa",
"Jan Ramon",
"Patrick Duflot",
"Fernando Pérez-González",
"Siyanna Lilova",
"Zakaria Chihani",
"Nicola Gentili",
"Paola Ulivi",
"Mohammad Ashadul Hoque",
"Twaha Mukammel",
"Zeev Pritzker",
"Augustin Lemesle",
"Jaime Loureiro-Acuña",
"Xavier Martı́nez",
"Gonzalo Jiménez-Balsa"],
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"citationRef_s":"<i>Proceedings on Privacy Enhancing Technologies</i>, In press, 2023 (2)",
"citationFull_s":"César Sabater, Florian Hahn, Andreas Peter, Jan Ramon. Private Sampling with Identifiable Cheaters. <i>Proceedings on Privacy Enhancing Technologies</i>, In press, 2023 (2). <a target=\"_blank\" href=\"https://inria.hal.science/hal-03904200\">⟨hal-03904200⟩</a>",
"title_s":["Private Sampling with Identifiable Cheaters"],
"authFullName_s":["César Sabater",
"Florian Hahn",
"Andreas Peter",
"Jan Ramon"],
"halId_s":"hal-03904200",
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"citationRef_s":"<i>Molecular Informatics</i>, 2023, 42 (3), pp.2200232. <a target=\"_blank\" href=\"https://dx.doi.org/10.1002/minf.202200232\">⟨10.1002/minf.202200232⟩</a>",
"citationFull_s":"Leander Schietgat, Bertrand Cuissart, Kurt De Grave, Kyriakos Efthymiadis, Ronan Bureau, et al.. Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm. <i>Molecular Informatics</i>, 2023, 42 (3), pp.2200232. <a target=\"_blank\" href=\"https://dx.doi.org/10.1002/minf.202200232\">⟨10.1002/minf.202200232⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03940446\">⟨hal-03940446⟩</a>",
"title_s":["Automated detection of toxicophores and prediction of mutagenicity using PMCSFG algorithm"],
"authFullName_s":["Leander Schietgat",
"Bertrand Cuissart",
"Kurt De Grave",
"Kyriakos Efthymiadis",
"Ronan Bureau",
"Bruno Crémilleux",
"Jan Ramon",
"Alban Lepailleur"],
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"citationRef_s":"<i>Machine Learning</i>, 2022",
"citationFull_s":"Juan Aurelio Alvarado, Yuyi Wang, Jan Ramon. Limits of Multi-relational Graphs. <i>Machine Learning</i>, 2022. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03881631\">⟨hal-03881631⟩</a>",
"title_s":["Limits of Multi-relational Graphs"],
"authFullName_s":["Juan Aurelio Alvarado",
"Yuyi Wang",
"Jan Ramon"],
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"citationRef_s":"<i>Machine Learning</i>, 2022, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-022-06267-9\">⟨10.1007/s10994-022-06267-9⟩</a>",
"citationFull_s":"César Sabater, Aurélien Bellet, Jan Ramon. An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging. <i>Machine Learning</i>, 2022, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10994-022-06267-9\">⟨10.1007/s10994-022-06267-9⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03820603v2\">⟨hal-03820603v2⟩</a>",
"title_s":["An Accurate, Scalable and Verifiable Protocol for Federated Differentially Private Averaging"],
"authFullName_s":["César Sabater",
"Aurélien Bellet",
"Jan Ramon"],
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"citationRef_s":"<i>ICDT 2022 - 25th International Conference on Database Theory</i>, Mar 2022, Edinburgh, United Kingdom",
"citationFull_s":"Florent Capelli, Nicolas Crosetti, Joachim Niehren, Jan Ramon. Linear Programs with Conjunctive Queries. <i>ICDT 2022 - 25th International Conference on Database Theory</i>, Mar 2022, Edinburgh, United Kingdom. <a target=\"_blank\" href=\"https://hal.science/hal-01981553\">⟨hal-01981553⟩</a>",
"title_s":["Linear Programs with Conjunctive Queries"],
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"Nicolas Crosetti",
"Joachim Niehren",
"Jan Ramon"],
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"citationRef_s":"<i>NeurIPS 2021 Workshop Privacy in Machine Learning</i>, Dec 2021, Sydney (Virtual), Australia. <a target=\"_blank\" href=\"https://priml2021.github.io/\"></a>",
"citationFull_s":"César Sabater, Jan Ramon. Zero Knowledge Arguments for Verifiable Sampling. <i>NeurIPS 2021 Workshop Privacy in Machine Learning</i>, Dec 2021, Sydney (Virtual), Australia. <a target=\"_blank\" href=\"https://priml2021.github.io/\"></a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03464840\">⟨hal-03464840⟩</a>",
"title_s":["Zero Knowledge Arguments for Verifiable Sampling"],
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"Jan Ramon"],
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"citationRef_s":"<i>French health data hub's AI4Health Winter School</i>, Jan 2021, virtual, France",
"citationFull_s":"Moitree Basu, Jan Ramon. A method to translate privacy requirements into a configuration for privacy-preserving machine learning applied to multi-centric studies. <i>French health data hub's AI4Health Winter School</i>, Jan 2021, virtual, France. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03964653\">⟨hal-03964653⟩</a>",
"title_s":["A method to translate privacy requirements into a configuration for privacy-preserving machine learning applied to multi-centric studies"],
"authFullName_s":["Moitree Basu",
"Jan Ramon"],
"halId_s":"hal-03964653",
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"citationRef_s":"<i>NeurIPS 2020 workshop on Privacy Preserving Machine Learning - PriML and PPML Joint Edition</i>, Dec 2020, Vancouver (Virtual Workshop), Canada. <a target=\"_blank\" href=\"https://ppml-workshop.github.io/\"></a>",
"citationFull_s":"César Sabater, Aurélien Bellet, Jan Ramon. Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties. <i>NeurIPS 2020 workshop on Privacy Preserving Machine Learning - PriML and PPML Joint Edition</i>, Dec 2020, Vancouver (Virtual Workshop), Canada. <a target=\"_blank\" href=\"https://ppml-workshop.github.io/\"></a>. <a target=\"_blank\" href=\"https://hal.science/hal-03117816\">⟨hal-03117816⟩</a>",
"title_s":["Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties"],
"authFullName_s":["César Sabater",
"Aurélien Bellet",
"Jan Ramon"],
"halId_s":"hal-03117816",
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"citationRef_s":"<i>ECML PKDD 2020 - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases</i>, Sep 2020, Ghent / Virtual, Belgium",
"citationFull_s":"Jan Ramon, Moitree Basu. Interpretable privacy with optimizable utility. <i>ECML PKDD 2020 - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases</i>, Sep 2020, Ghent / Virtual, Belgium. <a target=\"_blank\" href=\"https://inria.hal.science/hal-02950994\">⟨hal-02950994⟩</a>",
"title_s":["Interpretable privacy with optimizable utility"],
"authFullName_s":["Jan Ramon",
"Moitree Basu"],
"halId_s":"hal-02950994",
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"citationRef_s":"<i>Conférence sur l'Apprentissage Automatique 2020</i>, Jun 2020, Vannes (Virtual), France. <a target=\"_blank\" href=\"https://cap-rfiap2020.sciencesconf.org/\"></a>",
"citationFull_s":"César Sabater, Aurélien Bellet, Jan Ramon. Échange de bruit corrélé pour le calcul distribué de moyenne avec garanties de confidentialité différentielle. <i>Conférence sur l'Apprentissage Automatique 2020</i>, Jun 2020, Vannes (Virtual), France. <a target=\"_blank\" href=\"https://cap-rfiap2020.sciencesconf.org/\"></a>. <a target=\"_blank\" href=\"https://hal.science/hal-03117907\">⟨hal-03117907⟩</a>",
"title_s":["Échange de bruit corrélé pour le calcul distribué de moyenne avec garanties de confidentialité différentielle"],
"authFullName_s":["César Sabater",
"Aurélien Bellet",
"Jan Ramon"],
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"citationRef_s":"2020",
"citationFull_s":"César Sabater, Aurélien Bellet, Jan Ramon. Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties. 2020. <a target=\"_blank\" href=\"https://inria.hal.science/hal-03100019\">⟨hal-03100019⟩</a>",
"title_s":["Distributed Differentially Private Averaging with Improved Utility and Robustness to Malicious Parties"],
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"Aurélien Bellet",
"Jan Ramon"],
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"citationRef_s":"<i>Proceedings of the National Academy of Sciences of the United States of America</i>, 2019, 116 (36), pp.18142-18147. <a target=\"_blank\" href=\"https://dx.doi.org/10.1073/pnas.1900548116\">⟨10.1073/pnas.1900548116⟩</a>",
"citationFull_s":"Anthony Coutant, Katherine Roper, Daniel Trejo-Banos, Dominique Bouthinon, Martin Carpenter, et al.. Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast. <i>Proceedings of the National Academy of Sciences of the United States of America</i>, 2019, 116 (36), pp.18142-18147. <a target=\"_blank\" href=\"https://dx.doi.org/10.1073/pnas.1900548116\">⟨10.1073/pnas.1900548116⟩</a>. <a target=\"_blank\" href=\"https://hal.sorbonne-universite.fr/hal-02297702\">⟨hal-02297702⟩</a>",
"title_s":["Closed-loop cycles of experiment design, execution, and learning accelerate systems biology model development in yeast"],
"authFullName_s":["Anthony Coutant",
"Katherine Roper",
"Daniel Trejo-Banos",
"Dominique Bouthinon",
"Martin Carpenter",
"Jacek Grzebyta",
"Guillaume Santini",
"Henry Soldano",
"Mohamed Elati",
"Jan Ramon",
"Céline Rouveirol",
"Larisa N Soldatova",
"Ross D King"],
"halId_s":"hal-02297702",
"docType_s":"ART",
"producedDateY_i":2019},
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"citationRef_s":"2018",
"citationFull_s":"Jan Ramon. Exploiting traffic data. 2018. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01879941\">⟨hal-01879941⟩</a>",
"title_s":["Exploiting traffic data"],
"authFullName_s":["Jan Ramon"],
"halId_s":"hal-01879941",
"docType_s":"OTHER",
"producedDateY_i":2018},
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"citationRef_s":"<i>Bulletin of the Hellenic Mathematical Society</i>, 2018, 62, pp.31-43",
"citationFull_s":"Christos Pelekis, Jan Ramon, Yuyi Wang. On the Bernstein-Hoeffding method. <i>Bulletin of the Hellenic Mathematical Society</i>, 2018, 62, pp.31-43. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01814651\">⟨hal-01814651⟩</a>",
"title_s":["On the Bernstein-Hoeffding method"],
"authFullName_s":["Christos Pelekis",
"Jan Ramon",
"Yuyi Wang"],
"halId_s":"hal-01814651",
"docType_s":"ART",
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"citationRef_s":"<i>PLoS ONE</i>, 2018, 13 (4), <a target=\"_blank\" href=\"https://dx.doi.org/10.1371/journal.pone.0195997\">⟨10.1371/journal.pone.0195997⟩</a>",
"citationFull_s":"Robrecht Cannoodt, Joeri Ruyssinck, Jan Ramon, Katleen de Preter, Yvan Saeys. IncGraph: Incremental graphlet counting for topology optimisation. <i>PLoS ONE</i>, 2018, 13 (4), <a target=\"_blank\" href=\"https://dx.doi.org/10.1371/journal.pone.0195997\">⟨10.1371/journal.pone.0195997⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01814675\">⟨hal-01814675⟩</a>",
"title_s":["IncGraph: Incremental graphlet counting for topology optimisation"],
"authFullName_s":["Robrecht Cannoodt",
"Joeri Ruyssinck",
"Jan Ramon",
"Katleen de Preter",
"Yvan Saeys"],
"halId_s":"hal-01814675",
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"citationRef_s":"<i>PLoS Computational Biology</i>, 2018, 14 (4), pp.1-21. <a target=\"_blank\" href=\"https://dx.doi.org/10.1371/journal.pcbi.1006097\">⟨10.1371/journal.pcbi.1006097⟩</a>",
"citationFull_s":"Leander Schietgat, Celine Vens, Jan Ramon, Ricardo Cerri, Carlos N Fischer, et al.. A machine learning based framework to identify and classify long terminal repeat retrotransposons. <i>PLoS Computational Biology</i>, 2018, 14 (4), pp.1-21. <a target=\"_blank\" href=\"https://dx.doi.org/10.1371/journal.pcbi.1006097\">⟨10.1371/journal.pcbi.1006097⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01814669\">⟨hal-01814669⟩</a>",
"title_s":["A machine learning based framework to identify and classify long terminal repeat retrotransposons"],
"authFullName_s":["Leander Schietgat",
"Celine Vens",
"Jan Ramon",
"Ricardo Cerri",
"Carlos N Fischer",
"Eduardo Da Costa",
"Claudia M A Carareto",
"Hendrik Blockeel"],
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"citationRef_s":"[Research Report] Inria. 2018",
"citationFull_s":"Pierre Dellenbach, Aurélien Bellet, Jan Ramon. Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries. [Research Report] Inria. 2018. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01923000\">⟨hal-01923000⟩</a>",
"title_s":["Hiding in the Crowd: A Massively Distributed Algorithm for Private Averaging with Malicious Adversaries"],
"authFullName_s":["Pierre Dellenbach",
"Aurélien Bellet",
"Jan Ramon"],
"halId_s":"hal-01923000",
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"citationRef_s":"<i>Data Mining and Knowledge Discovery</i>, 2018, pp.36. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10618-018-0553-2\">⟨10.1007/s10618-018-0553-2⟩</a>",
"citationFull_s":"Irma Ravkic, Martiň Znidaršič, Jan Ramon, Jesse Davis. Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model. <i>Data Mining and Knowledge Discovery</i>, 2018, pp.36. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10618-018-0553-2\">⟨10.1007/s10618-018-0553-2⟩</a>. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01725971\">⟨hal-01725971⟩</a>",
"title_s":["Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model"],
"authFullName_s":["Irma Ravkic",
"Martiň Znidaršič",
"Jan Ramon",
"Jesse Davis"],
"halId_s":"hal-01725971",
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"citationRef_s":"<i>ALT 2017 - 28th conference on Algorithmic Learning Theory</i>, Oct 2017, Kyoto, Japan. pp.1 - 26",
"citationFull_s":"Yuyi Wang, Zheng-Chu Guo, Jan Ramon. Learning from Networked Examples. <i>ALT 2017 - 28th conference on Algorithmic Learning Theory</i>, Oct 2017, Kyoto, Japan. pp.1 - 26. <a target=\"_blank\" href=\"https://inria.hal.science/hal-02519274\">⟨hal-02519274⟩</a>",
"title_s":["Learning from Networked Examples"],
"authFullName_s":["Yuyi Wang",
"Zheng-Chu Guo",
"Jan Ramon"],
"halId_s":"hal-02519274",
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"producedDateY_i":2017},
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"citationRef_s":"<i>Molecular Informatics</i>, 2017, Special Issue: Chemoinformatics in France, 36 (10), <a target=\"_blank\" href=\"https://dx.doi.org/10.1002/minf.201700022\">⟨10.1002/minf.201700022⟩</a>",
"citationFull_s":"Julien Rabatel, Fannes Thomas, Alban Lepailleur, Jérémie Le Goff, Bruno Crémilleux, et al.. Non a Priori Automatic Discovery of 3D Chemical Patterns: Application to Mutagenicity. <i>Molecular Informatics</i>, 2017, Special Issue: Chemoinformatics in France, 36 (10), <a target=\"_blank\" href=\"https://dx.doi.org/10.1002/minf.201700022\">⟨10.1002/minf.201700022⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-01576894\">⟨hal-01576894⟩</a>",
"title_s":["Non a Priori Automatic Discovery of 3D Chemical Patterns: Application to Mutagenicity"],
"authFullName_s":["Julien Rabatel",
"Fannes Thomas",
"Alban Lepailleur",
"Jérémie Le Goff",
"Bruno Crémilleux",
"Jan Ramon",
"Ronan Bureau",
"Bertrand Cuissart"],
"halId_s":"hal-01576894",
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"producedDateY_i":2017},
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"citationRef_s":"<i>ECML/PKDD 2017 - Workshop on Time-Dependent Large-Scale Graphs</i>, Sep 2017, Skopje, Macedonia",
"citationFull_s":"Jan Ramon. Learning from partly observable time- dependent graphs. <i>ECML/PKDD 2017 - Workshop on Time-Dependent Large-Scale Graphs</i>, Sep 2017, Skopje, Macedonia. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01721301\">⟨hal-01721301⟩</a>",
"title_s":["Learning from partly observable time- dependent graphs"],
"authFullName_s":["Jan Ramon"],
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"citationRef_s":"<i>ECML PKDD 2017 - European Conference on Machile Learning & Principles and Practice of Knowledge Discovery in Databases : workshop DMSC - Data Mining with Secure Computation</i>, Sep 2017, Skopje, Macedonia. pp.1-5",
"citationFull_s":"Thanh Le Van, Aurélien Bellet, Jan Ramon. Decentralised and Privacy-Aware Learning of Traversal Time Models. <i>ECML PKDD 2017 - European Conference on Machile Learning & Principles and Practice of Knowledge Discovery in Databases : workshop DMSC - Data Mining with Secure Computation</i>, Sep 2017, Skopje, Macedonia. pp.1-5. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01666739\">⟨hal-01666739⟩</a>",
"title_s":["Decentralised and Privacy-Aware Learning of Traversal Time Models"],
"authFullName_s":["Thanh Le Van",
"Aurélien Bellet",
"Jan Ramon"],
"halId_s":"hal-01666739",
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"producedDateY_i":2017},
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"citationRef_s":"<i>Indagationes Mathematicae</i>, 2017, 28 (1), pp.170-182. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.indag.2016.11.017\">⟨10.1016/j.indag.2016.11.017⟩</a>",
"citationFull_s":"Christos Pelekis, Jan Ramon, Yuyi Wang. Hölder-type inequalities and their applications to concentration and correlation bounds. <i>Indagationes Mathematicae</i>, 2017, 28 (1), pp.170-182. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.indag.2016.11.017\">⟨10.1016/j.indag.2016.11.017⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-01421953\">⟨hal-01421953⟩</a>",
"title_s":["Hölder-type inequalities and their applications to concentration and correlation bounds"],
"authFullName_s":["Christos Pelekis",
"Jan Ramon",
"Yuyi Wang"],
"halId_s":"hal-01421953",
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"citationRef_s":"<i>NIPS 2016 workshop on Private Multi-Party Machine Learning</i>, Dec 2016, Barcelone, Spain",
"citationFull_s":"Pierre Dellenbach, Jan Ramon, Aurélien Bellet. A Decentralized and Robust Protocol for Private Averaging over Highly Distributed Data. <i>NIPS 2016 workshop on Private Multi-Party Machine Learning</i>, Dec 2016, Barcelone, Spain. <a target=\"_blank\" href=\"https://inria.hal.science/hal-01384148\">⟨hal-01384148⟩</a>",
"title_s":["A Decentralized and Robust Protocol for Private Averaging over Highly Distributed Data"],
"authFullName_s":["Pierre Dellenbach",
"Jan Ramon",
"Aurélien Bellet"],
"halId_s":"hal-01384148",
"docType_s":"COMM",
"producedDateY_i":2016},
{
"citationRef_s":"<i>International Joint Conference on Artificial Intelligence (IJCAI)</i>, Jul 2016, New York, United States",
"citationFull_s":"Ondřej Kuželka, Yuyi Wang, Jan Ramon. Bounds for Learning from Evolutionary-Related Data in the Realizable Case. <i>International Joint Conference on Artificial Intelligence (IJCAI)</i>, Jul 2016, New York, United States. <a target=\"_blank\" href=\"https://hal.science/hal-01422033\">⟨hal-01422033⟩</a>",
"title_s":["Bounds for Learning from Evolutionary-Related Data in the Realizable Case"],
"authFullName_s":["Ondřej Kuželka",
"Yuyi Wang",
"Jan Ramon"],
"halId_s":"hal-01422033",
"docType_s":"COMM",
"producedDateY_i":2016},
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"citationRef_s":"9046, 2016, <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/978-3-319-23708-4\">⟨10.1007/978-3-319-23708-4⟩</a>",
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